In this paper we introduce StarZip, a multi-corpora lossless text compression utility which incorporates StarNT, our newly proposed transform algorithm. StarNT is a dictionary-base...
This paper proposes an image compression approach, in which we incorporate primal sketch based learning into the mainstream image compression framework. The key idea of our approa...
We present a method to speed up the computation of a high-quality data-dependent triangulation approximating an image using simulated annealing by probability distributions guided ...
We present a Boyer-Moore approach to string matching over LZ78 and LZW compressed text. The key idea is that, despite that we cannot exactly choose which text characters to inspect...
W e explore a n image compression scheme that does not rely o n the usual additive decomposition of a n input image into a set of predefined spanning functions. The proposed schem...